Behavior based authentication for touch screen devices
First Claim
1. A method for behavior based authentication for touch screen devices, comprising:
- acquiring a plurality of training samples corresponding to a first action performed on a touch screen of a touch screen device, wherein the first action comprises an input of a gesture by a legitimate user;
generating a user behavior model based on the plurality of training samples, what features of the training samples by multiple users, and how features of the training samples by distinct users, wherein the what features comprise a displacement magnitude, and wherein the how features comprise the displacement magnitude;
acquiring a test sample corresponding to a second action performed on the touch screen, wherein the second action comprises an input of the gesture by a user; and
classifying the test sample based on the user behavior model, wherein classifying the test sample comprises determining whether the user is the legitimate user or an imposter, including by automatically adjusting a time resolution for each of a plurality of subparts of an input of the first action until and in order to obtain consistent feature values for the subparts for different locations of the first action.
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Accused Products
Abstract
A method, system, and one or more computer-readable storage media for behavior based authentication for touch screen devices are provided herein. The method includes acquiring a number of training samples corresponding to a first action performed on a touch screen of a touch screen device, wherein the first action includes an input of a signature or a gesture by a legitimate user. The method also includes generating a user behavior model based on the training samples and acquiring a test sample corresponding to a second action performed on the touch screen, wherein the second action includes an input of the signature or the gesture by a user. The method further includes classifying the test sample based on the user behavior model, wherein classifying the test sample includes determining whether the user is the legitimate user or an imposter.
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Citations
18 Claims
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1. A method for behavior based authentication for touch screen devices, comprising:
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acquiring a plurality of training samples corresponding to a first action performed on a touch screen of a touch screen device, wherein the first action comprises an input of a gesture by a legitimate user; generating a user behavior model based on the plurality of training samples, what features of the training samples by multiple users, and how features of the training samples by distinct users, wherein the what features comprise a displacement magnitude, and wherein the how features comprise the displacement magnitude; acquiring a test sample corresponding to a second action performed on the touch screen, wherein the second action comprises an input of the gesture by a user; and classifying the test sample based on the user behavior model, wherein classifying the test sample comprises determining whether the user is the legitimate user or an imposter, including by automatically adjusting a time resolution for each of a plurality of subparts of an input of the first action until and in order to obtain consistent feature values for the subparts for different locations of the first action. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A touch screen device, comprising:
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a touch screen; a processor that is adapted to execute stored instructions; and a system memory, wherein the system memory comprises code configured to; acquire a plurality of training samples corresponding to a first action performed on the touch screen, wherein the first action comprises an input of a signature by a legitimate user; generate a user behavior model based on the plurality of training samples, what features of the training samples by multiple users, and how features of the training samples by distinct users, wherein the what features comprise a displacement magnitude, and wherein the how features comprise the displacement magnitude; acquire a test sample corresponding to a second action performed on the touch screen, wherein the second action comprises an input of the signature by a user; and classify the test sample based on the user behavior model, wherein classifying the test sample comprises determining whether the user is the legitimate user or an imposter, including by automatically adjusting a time resolution for each of a plurality of subparts of an input of the first action until and in order to obtain consistent feature values for the subparts for different locations of the first action. - View Dependent Claims (13, 14, 15, 16, 17, 18)
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Specification